diff --git a/docs/modules/utils/combine_docs_examples/embeddings.ipynb b/docs/modules/utils/combine_docs_examples/embeddings.ipynb
index cc25591198..686afe6d2a 100644
--- a/docs/modules/utils/combine_docs_examples/embeddings.ipynb
+++ b/docs/modules/utils/combine_docs_examples/embeddings.ipynb
@@ -77,36 +77,130 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "42f76e43",
    "metadata": {},
    "source": [
     "## Cohere\n",
     "\n",
-    "TODO: add documentation for Cohere embeddings."
+    "Let's load the Cohere Embedding class."
    ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "6b82f59f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.embeddings import CohereEmbeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "26895c60",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "embeddings = CohereEmbeddings(cohere_api_key= cohere_api_key)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "eea52814",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "text = \"This is a test document.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "fbe167bf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query_result = embeddings.embed_query(text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "38ad3b20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "doc_result = embeddings.embed_documents([text])"
+   ]
+  },
+  {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "ed47bb62",
    "metadata": {},
    "source": [
     "## Hugging Face Hub\n",
-    "TODO: add documentation for Hugging Face Hub embeddings."
+    "Let's load the Hugging Face Embedding class."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
+   "id": "861521a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.embeddings import HuggingFaceEmbeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
    "id": "ff9be586",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "embeddings = HuggingFaceEmbeddings()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "d0a98ae9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "text = \"This is a test document.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "5d6c682b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query_result = embeddings.embed_query(text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "bb5e74c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "doc_result = embeddings.embed_documents([text])"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "cohere",
    "language": "python",
    "name": "python3"
   },
@@ -120,7 +214,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.10.8"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "ce6f9b0d7cdac41515b0e0c38d0e6e153a2edce81d579281cb1ab99da6e8ea6d"
+   }
   }
  },
  "nbformat": 4,